An open API service providing repository metadata for many open source software ecosystems.

Topic: "dimensionality-reduction"

lmcinnes/umap

Uniform Manifold Approximation and Projection

Language: Python - Size: 62.8 MB - Last synced at: 6 days ago - Pushed at: 10 days ago - Stars: 7,751 - Forks: 826

seandavi/awesome-single-cell

Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.

Size: 1.43 MB - Last synced at: 12 days ago - Pushed at: 20 days ago - Stars: 3,358 - Forks: 1,016

tirthajyoti/Machine-Learning-with-Python

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Language: Jupyter Notebook - Size: 96.7 MB - Last synced at: 28 days ago - Pushed at: almost 2 years ago - Stars: 3,191 - Forks: 1,821

benedekrozemberczki/awesome-community-detection

A curated list of community detection research papers with implementations.

Language: Python - Size: 2.21 MB - Last synced at: 6 days ago - Pushed at: about 1 year ago - Stars: 2,372 - Forks: 363

kk7nc/Text_Classification

Text Classification Algorithms: A Survey

Language: Python - Size: 13.8 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1,810 - Forks: 543

pavlin-policar/openTSNE

Extensible, parallel implementations of t-SNE

Language: Python - Size: 70 MB - Last synced at: 14 days ago - Pushed at: 7 months ago - Stars: 1,521 - Forks: 171

JustGlowing/minisom

:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps

Language: Python - Size: 19.1 MB - Last synced at: 10 days ago - Pushed at: about 1 month ago - Stars: 1,505 - Forks: 437

benedekrozemberczki/datasets

A repository of pretty cool datasets that I collected for network science and machine learning research.

Size: 91.4 MB - Last synced at: 2 months ago - Pushed at: about 1 year ago - Stars: 623 - Forks: 84

cvxgrp/pymde

Minimum-distortion embedding with PyTorch

Language: Python - Size: 46.9 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 546 - Forks: 26

KrishnaswamyLab/PHATE

PHATE (Potential of Heat-diffusion for Affinity-based Transition Embedding) is a tool for visualizing high dimensional data.

Language: Python - Size: 142 MB - Last synced at: 17 days ago - Pushed at: 25 days ago - Stars: 495 - Forks: 76

maykulkarni/Machine-Learning-Notebooks

Machine Learning notebooks for refreshing concepts.

Language: Jupyter Notebook - Size: 13.2 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 420 - Forks: 218

PAIR-code/umap-js

JavaScript implementation of UMAP

Language: JavaScript - Size: 3.55 MB - Last synced at: 8 days ago - Pushed at: 3 months ago - Stars: 394 - Forks: 34

JuliaStats/MultivariateStats.jl

A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)

Language: Julia - Size: 1.55 MB - Last synced at: 7 days ago - Pushed at: 11 months ago - Stars: 382 - Forks: 87

jlmelville/uwot

An R package implementing the UMAP dimensionality reduction method.

Language: R - Size: 91 MB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 332 - Forks: 31

beringresearch/ivis

Dimensionality reduction in very large datasets using Siamese Networks

Language: Python - Size: 35.3 MB - Last synced at: 9 days ago - Pushed at: 7 months ago - Stars: 332 - Forks: 43

GAA-UAM/scikit-fda

Functional Data Analysis Python package

Language: Python - Size: 12.5 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 324 - Forks: 62

machenslab/dPCA

An implementation of demixed Principal Component Analysis (a supervised linear dimensionality reduction technique)

Language: Jupyter Notebook - Size: 1.51 MB - Last synced at: 5 days ago - Pushed at: almost 3 years ago - Stars: 296 - Forks: 95

ardiya/siamesenetwork-tensorflow

Using siamese network to do dimensionality reduction and similar image retrieval

Language: Jupyter Notebook - Size: 32.7 MB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 279 - Forks: 84

yuki-koyama/mathtoolbox

Mathematical tools (interpolation, dimensionality reduction, optimization, etc.) written in C++11 with Eigen

Language: C++ - Size: 8.94 MB - Last synced at: about 1 month ago - Pushed at: about 3 years ago - Stars: 268 - Forks: 37

dpeerlab/Palantir

Single cell trajectory detection

Language: Jupyter Notebook - Size: 56.2 MB - Last synced at: 7 days ago - Pushed at: 26 days ago - Stars: 248 - Forks: 52

wilsonjr/humap

Hierarchical Uniform Manifold Approximation and Projection

Language: C++ - Size: 51.6 MB - Last synced at: 2 days ago - Pushed at: 3 months ago - Stars: 235 - Forks: 8

syamkakarla98/Hyperspectral_Image_Analysis_Simplified

The repository contains the implementation of different machine learning techniques such as classification and clustering on Hyperspectral and Satellite Imagery.

Language: Jupyter Notebook - Size: 21.4 MB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 232 - Forks: 50

drewwilimitis/Manifold-Learning

Introduction to Manifold Learning - Mathematical Theory and Applied Python Examples (Multidimensional Scaling, Isomap, Locally Linear Embedding, Spectral Embedding/Laplacian Eigenmaps)

Language: Jupyter Notebook - Size: 140 MB - Last synced at: 10 days ago - Pushed at: about 5 years ago - Stars: 232 - Forks: 39

PacktWorkshops/The-Data-Science-Workshop

A New, Interactive Approach to Learning Data Science

Language: Jupyter Notebook - Size: 169 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 226 - Forks: 218

koba-jon/pytorch_cpp

Deep Learning sample programs using PyTorch in C++

Language: C++ - Size: 870 KB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 225 - Forks: 49

danaugrs/go-tsne

t-Distributed Stochastic Neighbor Embedding (t-SNE) in Go

Language: Go - Size: 90.2 MB - Last synced at: about 8 hours ago - Pushed at: over 1 year ago - Stars: 216 - Forks: 25

benedekrozemberczki/DANMF

A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).

Language: Python - Size: 2.31 MB - Last synced at: 5 days ago - Pushed at: about 2 years ago - Stars: 205 - Forks: 41

iqiukp/KPCA-MATLAB

MATLAB code for dimensionality reduction, feature extraction, fault detection, and fault diagnosis using Kernel Principal Component Analysis (KPCA).

Language: MATLAB - Size: 6.65 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 200 - Forks: 81

snrazavi/Machine_Learning_2018

Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz

Language: Jupyter Notebook - Size: 36.8 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 193 - Forks: 103

YttriLab/B-SOID

Behavioral segmentation of open field in DeepLabCut, or B-SOID ("B-side"), is a pipeline that pairs unsupervised pattern recognition with supervised classification to achieve fast predictions of behaviors that are not predefined by users.

Language: Python - Size: 911 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 163 - Forks: 47

fcomitani/simpsom

Python library for Self-Organizing Maps

Language: Python - Size: 34.5 MB - Last synced at: 28 days ago - Pushed at: over 1 year ago - Stars: 162 - Forks: 39

jgraving/selfsne

Self-Supervised Noise Embeddings (Self-SNE)

Language: Jupyter Notebook - Size: 2.79 MB - Last synced at: 24 days ago - Pushed at: about 1 month ago - Stars: 158 - Forks: 13

msmbuilder/msmbuilder 📦

:building_construction: Statistical models for biomolecular dynamics :building_construction:

Language: Python - Size: 6.91 MB - Last synced at: 8 days ago - Pushed at: over 4 years ago - Stars: 158 - Forks: 95

dimkastan/PyTorch-Spectral-clustering

[Under development]- Implementation of various methods for dimensionality reduction and spectral clustering implemented with Pytorch

Language: Python - Size: 820 KB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 158 - Forks: 14

timsainb/ParametricUMAP_paper

Parametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep neural networks for representation and semi-supervised learning" (Sainburg, McInnes, Gentner, 2020).

Language: Jupyter Notebook - Size: 1.42 GB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 150 - Forks: 15

mcsorkun/ChemPlot

A python package for chemical space visualization.

Language: Jupyter Notebook - Size: 69.3 MB - Last synced at: 11 days ago - Pushed at: 5 months ago - Stars: 141 - Forks: 31

TatevKaren/mathematics-statistics-for-data-science

Mathematical & Statistical topics to perform statistical analysis and tests; Linear Regression, Probability Theory, Monte Carlo Simulation, Statistical Sampling, Bootstrapping, Dimensionality reduction techniques (PCA, FA, CCA), Imputation techniques, Statistical Tests (Kolmogorov Smirnov), Robust Estimators (FastMCD) and more in Python and R.

Language: R - Size: 15.9 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 138 - Forks: 46

tkonopka/umap

Uniform Manifold Approximation and Projection - R package

Language: R - Size: 662 KB - Last synced at: 9 days ago - Pushed at: about 1 year ago - Stars: 133 - Forks: 16

dillondaudert/UMAP.jl

Uniform Manifold Approximation and Projection (UMAP) implementation in Julia

Language: Julia - Size: 2.72 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 131 - Forks: 17

naver/tldr

TLDR is an unsupervised dimensionality reduction method that combines neighborhood embedding learning with the simplicity and effectiveness of recent self-supervised learning losses

Language: Python - Size: 43 KB - Last synced at: 27 days ago - Pushed at: almost 3 years ago - Stars: 124 - Forks: 3

ganguli-lab/twpca

🕝 Time-warped principal components analysis (twPCA)

Language: Jupyter Notebook - Size: 43.4 MB - Last synced at: 6 months ago - Pushed at: about 4 years ago - Stars: 124 - Forks: 24

kevinzakka/tsne-viz 📦

Python Wrapper for t-SNE Visualization

Language: Python - Size: 7.62 MB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 119 - Forks: 22

berenslab/t-simcne

Unsupervised visualization of image datasets using contrastive learning

Language: Python - Size: 16.1 MB - Last synced at: 4 days ago - Pushed at: about 2 months ago - Stars: 116 - Forks: 13

xarray-contrib/xeofs

Comprehensive EOF analysis in Python with xarray: A versatile, multidimensional, and scalable tool for advanced climate data analysis

Language: Python - Size: 44.8 MB - Last synced at: 6 days ago - Pushed at: 3 months ago - Stars: 116 - Forks: 23

saehm/DruidJS

A JavaScript Library for Dimensionality Reduction

Language: JavaScript - Size: 6.18 MB - Last synced at: 9 days ago - Pushed at: 8 months ago - Stars: 116 - Forks: 10

lmcinnes/enstop

Ensemble topic modelling with pLSA

Language: Python - Size: 233 KB - Last synced at: 11 days ago - Pushed at: over 3 years ago - Stars: 114 - Forks: 12

trevorprater/pymorton

A lightweight and efficient Python Morton encoder with support for geo-hashing

Language: Python - Size: 60.5 KB - Last synced at: 2 days ago - Pushed at: almost 2 years ago - Stars: 112 - Forks: 22

TorchDR/TorchDR

TorchDR - PyTorch Dimensionality Reduction

Language: Python - Size: 5.45 MB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 108 - Forks: 10

hyungkwonko/umato

Uniform Manifold Approximation with Two-phase Optimization (IEEE VIS 2022 short)

Language: Jupyter Notebook - Size: 188 MB - Last synced at: 22 days ago - Pushed at: 5 months ago - Stars: 107 - Forks: 11

yanwu2014/swne

Similarity Weighted Nonnegative Embedding (SWNE), a method for visualizing high dimensional datasets

Language: R - Size: 211 MB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 105 - Forks: 19

benedekrozemberczki/walklets

A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).

Language: Python - Size: 2.99 MB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 105 - Forks: 22

davisidarta/topometry

Systematically learn and evaluate manifolds from high-dimensional data

Language: Python - Size: 659 MB - Last synced at: 13 days ago - Pushed at: almost 2 years ago - Stars: 97 - Forks: 4

wildart/ManifoldLearning.jl

A Julia package for manifold learning and nonlinear dimensionality reduction

Language: Julia - Size: 3.5 MB - Last synced at: 19 days ago - Pushed at: about 1 year ago - Stars: 93 - Forks: 22

MaksimEkin/COVID19-Literature-Clustering

An approach to document exploration using Machine Learning. Let's cluster similar research articles together to make it easier for health professionals and researchers to find relevant research articles.

Language: HTML - Size: 201 MB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 93 - Forks: 57

benedekrozemberczki/BANE

A sparsity aware implementation of "Binarized Attributed Network Embedding" (ICDM 2018).

Language: Python - Size: 797 KB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 87 - Forks: 17

theislab/destiny

R package for single cell and other data analysis using diffusion maps

Language: R - Size: 20.9 MB - Last synced at: 29 days ago - Pushed at: 6 months ago - Stars: 85 - Forks: 12

syamkakarla98/Dimensionality-reduction-and-classification-on-Hyperspectral-Images-Using-Python

In this repository, You can find the files which implement dimensionality reduction on the hyperspectral image(Indian Pines) with classification.

Language: Jupyter Notebook - Size: 8.66 MB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 83 - Forks: 33

benedekrozemberczki/ASNE

A sparsity aware and memory efficient implementation of "Attributed Social Network Embedding" (TKDE 2018).

Language: Python - Size: 1.01 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 82 - Forks: 27

frjnn/bhtsne

Parallel Barnes-Hut t-SNE implementation written in Rust.

Language: Rust - Size: 6.94 MB - Last synced at: 4 days ago - Pushed at: 8 months ago - Stars: 77 - Forks: 8

terrytangyuan/lfda

Local Fisher Discriminant Analysis in R

Language: R - Size: 111 KB - Last synced at: 9 days ago - Pushed at: almost 2 years ago - Stars: 76 - Forks: 14

gdkrmr/dimRed

A Framework for Dimensionality Reduction in R

Language: R - Size: 56.7 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 73 - Forks: 16

thieu1995/mafese

Feature Selection using Metaheuristics Made Easy: Open Source MAFESE Library in Python

Language: Python - Size: 4.51 MB - Last synced at: 29 days ago - Pushed at: 11 months ago - Stars: 72 - Forks: 24

benedekrozemberczki/SINE

A PyTorch Implementation of "SINE: Scalable Incomplete Network Embedding" (ICDM 2018).

Language: Python - Size: 2.49 MB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 72 - Forks: 18

jlmelville/smallvis

R package for dimensionality reduction of small datasets

Language: R - Size: 224 MB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 68 - Forks: 10

erichson/spca

Sparse Principal Component Analysis (SPCA) using Variable Projection

Language: R - Size: 16.9 MB - Last synced at: 7 days ago - Pushed at: about 7 years ago - Stars: 68 - Forks: 10

arvkevi/ezancestry

Easy genetic ancestry predictions in Python

Language: Jupyter Notebook - Size: 24.9 MB - Last synced at: 7 days ago - Pushed at: 2 months ago - Stars: 65 - Forks: 11

pswpswpsw/nif

A library for dimensionality reduction on spatial-temporal PDE

Language: Jupyter Notebook - Size: 82.5 MB - Last synced at: 11 days ago - Pushed at: about 1 year ago - Stars: 65 - Forks: 13

adavoudi/spdnet

Implementation of Deep SPDNet in pytorch

Language: Python - Size: 51.8 KB - Last synced at: 27 days ago - Pushed at: over 1 year ago - Stars: 64 - Forks: 11

simslab/scHPF

Single-cell Hierarchical Poisson Factorization

Language: Python - Size: 1.3 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 60 - Forks: 10

terrytangyuan/dml

R package for Distance Metric Learning

Language: R - Size: 254 KB - Last synced at: 9 days ago - Pushed at: almost 2 years ago - Stars: 58 - Forks: 30

ggulgun/NIDS-Intrusion-Detection

Simple Implementation of Network Intrusion Detection System. KddCup'99 Data set is used for this project. kdd_cup_10_percent is used for training test. correct set is used for test. PCA is used for dimension reduction. SVM and KNN supervised algorithms are the classification algorithms of project. Accuracy : %83.5 For SVM , %80 For KNN

Language: Python - Size: 16.6 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 58 - Forks: 34

nf-core/scdownstream

A single cell transcriptomics pipeline for QC, integration and making the data presentable

Language: Nextflow - Size: 2.11 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 55 - Forks: 24

ImmuneDynamics/Spectre

A computational toolkit in R for the integration, exploration, and analysis of high-dimensional single-cell cytometry and imaging data.

Language: HTML - Size: 602 MB - Last synced at: 12 months ago - Pushed at: about 1 year ago - Stars: 55 - Forks: 19

Collection-Space-Navigator/CSN

Interactive Visualization Interface for Multidimensional Datasets

Language: JavaScript - Size: 714 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 54 - Forks: 13

wilsonjr/ClusterShapley

Explaining dimensionality results using SHAP values

Language: C++ - Size: 655 KB - Last synced at: 10 days ago - Pushed at: 4 months ago - Stars: 54 - Forks: 6

alexisbcook/tsne Fork of danielfrg/tsne

A python wrapper for Barnes-Hut tsne: for Python >= 3.5

Language: Python - Size: 1.5 MB - Last synced at: 4 months ago - Pushed at: about 8 years ago - Stars: 54 - Forks: 23

KellerJordan/tSNE-Animation

Hacking sklearn's t-SNE implementation to animate embedding process

Language: Python - Size: 32.2 KB - Last synced at: 10 days ago - Pushed at: almost 7 years ago - Stars: 53 - Forks: 8

sdimi/spotifav

🤘 Map out your musical taste on Spotify with machine learning

Language: Jupyter Notebook - Size: 4.66 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 52 - Forks: 5

zhaoxiaofei/bindash

Fast and precise comparison of genomes and metagenomes (in the order of terabytes) on a typical personal laptop

Language: C++ - Size: 985 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 51 - Forks: 7

stat-ml/ncvis

Noise-Contrastive Visualization

Language: C++ - Size: 1.78 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 51 - Forks: 2

gexijin/datamap

DataMap is a browser-based app for visualizing data using heatmaps, PCA plots, and t-SNE plots.

Language: R - Size: 2.29 MB - Last synced at: 5 days ago - Pushed at: 11 days ago - Stars: 50 - Forks: 10

davisidarta/dbMAP

A fast, accurate, and modularized dimensionality reduction approach based on diffusion harmonics and graph layouts. Escalates to millions of samples on a personal laptop. Adds high-dimensional big data intrinsic structure to your clustering and data visualization workflow.

Language: Python - Size: 29 MB - Last synced at: 29 days ago - Pushed at: about 4 years ago - Stars: 48 - Forks: 4

dlab-berkeley/Unsupervised-Learning-in-R

Workshop (6 hours): Clustering (Hdbscan, LCA, Hopach), dimension reduction (UMAP, GLRM), and anomaly detection (isolation forests).

Language: R - Size: 472 KB - Last synced at: 15 days ago - Pushed at: almost 5 years ago - Stars: 47 - Forks: 12

poloclub/people-map

Visualization Tool for Mapping Out Researchers using Natural Language Processing

Language: Python - Size: 14.5 MB - Last synced at: 9 months ago - Pushed at: about 1 year ago - Stars: 46 - Forks: 4

catniplab/vlgp

Dimensionality reduction of spikes trains

Language: Python - Size: 165 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 46 - Forks: 7

nla-group/fABBA

A Python library for the fast symbolic approximation of time series

Language: Python - Size: 514 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 44 - Forks: 9

hendersontrent/theft

R package for Tools for Handling Extraction of Features from Time series (theft)

Language: R - Size: 57.4 MB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 40 - Forks: 6

ContextLab/timecorr

Estimate dynamic high-order correlations in multivariate timeseries data

Language: Jupyter Notebook - Size: 128 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 39 - Forks: 12

orbxball/ML2017

2017 Spring (105-2) -- Machine Learning

Language: JavaScript - Size: 357 MB - Last synced at: about 1 month ago - Pushed at: about 4 years ago - Stars: 39 - Forks: 10

hellojinwoo/TorchCoder Fork of shobrook/sequitur

PyTorch based autoencoder for sequential data

Language: Python - Size: 79.1 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 39 - Forks: 7

FiammettaC/AI-for-Chemical-Engineers

This is a practical course designed for chemical engineers that want to learn the basics of AI. The course is very practical and will cover various topics, such as basic Python syntax, data visualization, machine learning and deep learning models, natural language processing, image processing and explainability.

Language: Jupyter Notebook - Size: 61.5 MB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 37 - Forks: 6

hippylib/hippyflow

Dimension reduced surrogate construction for parametric PDE maps

Language: Python - Size: 162 KB - Last synced at: 30 days ago - Pushed at: about 1 month ago - Stars: 37 - Forks: 7

milescsmith/ReductionWrappers 📦

R wrappers to connect Python dimensional reduction tools and single cell data objects (Seurat, SingleCellExperiment, etc...)

Language: R - Size: 5.8 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 37 - Forks: 4

berenslab/umi-normalization

Companion repository to Lause, Berens & Kobak (2021): "Analytic Pearson residuals for normalization of single-cell RNA-seq UMI data", Genome Biology

Language: Jupyter Notebook - Size: 89.2 MB - Last synced at: 12 months ago - Pushed at: about 3 years ago - Stars: 37 - Forks: 2

IvanBongiorni/TensorFlow2.0_Notebooks

Implementation of a series of Neural Network architectures in TensorFow 2.0

Language: Jupyter Notebook - Size: 1.66 MB - Last synced at: 4 days ago - Pushed at: about 4 years ago - Stars: 37 - Forks: 22

damoncrockett/ivpy

Iconographic Visualization Inside Computational Notebooks

Language: Python - Size: 564 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 36 - Forks: 5

USCbiostats/partition

A fast and flexible framework for data reduction in R

Language: HTML - Size: 15.1 MB - Last synced at: 9 days ago - Pushed at: 6 months ago - Stars: 36 - Forks: 4

hj-n/zadu

A Python Library for Evaluating the Reliability of Dimensionality Reduction Embeddings

Language: Python - Size: 5.89 MB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 36 - Forks: 8

benedekrozemberczki/BoostedFactorization

An implementation of "Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation" (ASONAM 2019).

Language: Python - Size: 829 KB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 36 - Forks: 13

basiralab/BrainNet-ML-ToolBox

Python Machine Learning Toolbox for Brain Network Classification. Source codes are included of the top 20 teams in the Kaggle competition.

Language: Python - Size: 830 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 36 - Forks: 11

Related Topics
machine-learning 396 clustering 213 pca 205 python 188 data-science 121 classification 116 principal-component-analysis 108 unsupervised-learning 89 deep-learning 89 data-visualization 87 visualization 68 feature-selection 62 regression 62 umap 60 tsne 55 r 55 autoencoder 52 machine-learning-algorithms 51 pca-analysis 49 t-sne 48 manifold-learning 44 pandas 42 numpy 42 scikit-learn 41 logistic-regression 41 feature-extraction 41 kmeans-clustering 37 natural-language-processing 37 sklearn 36 exploratory-data-analysis 36 random-forest 35 python3 35 linear-regression 33 feature-engineering 33 neural-network 32 supervised-learning 32 neural-networks 31 unsupervised-machine-learning 31 clustering-algorithm 31 data-analysis 31 svd 29 pytorch 28 data-mining 28 matplotlib 26 statistics 26 tensorflow 26 nlp 26 k-means-clustering 26 jupyter-notebook 24 reinforcement-learning 24 svm 23 decision-trees 22 data-preprocessing 20 linear-discriminant-analysis 20 image-processing 20 singular-value-decomposition 20 optimization 19 regression-models 19 dimension-reduction 19 outlier-detection 18 support-vector-machines 18 matlab 17 computer-vision 17 isomap 17 eda 17 anomaly-detection 17 recommender-system 16 hierarchical-clustering 16 lda 16 single-cell 16 time-series 15 kmeans 15 self-organizing-map 15 cross-validation 15 classification-algorithm 15 convolutional-neural-networks 15 preprocessing 14 autoencoders 14 bioinformatics 14 linear-algebra 14 keras 14 embeddings 13 association-rules 13 embedding 13 svm-classifier 13 mds 13 model-selection 12 cluster-analysis 12 image-classification 11 mnist 11 nlp-machine-learning 11 tsne-algorithm 11 kaggle-competition 11 matrix-factorization 11 som 11 knn 11 cnn 11 seaborn 10 wrapper 10 ensemble-learning 10